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BMC Pregnancy and Childbirth

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Maternal vitamin D supplementation during pregnancy and lactation to prevent acute respiratory infections in infancy in Dhaka, Bangladesh (MDARI trial): protocol for a prospective cohort study nested within a randomized controlled trial

  • Shaun K. Morris1, 2, 3, 8Email author,
  • Lisa G. Pell2,
  • Mohammed Ziaur Rahman4,
  • Michelle C. Dimitris2,
  • Abdullah Mahmud5,
  • M. Munirul Islam6,
  • Tahmeed Ahmed6,
  • Eleanor Pullenayegum3,
  • Tahmid Kashem6,
  • Shaila S. Shanta6,
  • Jonathan Gubbay1, 7,
  • Eszter Papp2,
  • Michelle Science1, 8,
  • Stanley Zlotkin1, 2, 3 and
  • Daniel E. Roth1, 2, 3
BMC Pregnancy and ChildbirthBMC series – open, inclusive and trusted201616:309

https://doi.org/10.1186/s12884-016-1103-9

Received: 16 February 2016

Accepted: 8 October 2016

Published: 13 October 2016

Abstract

Background

Early infancy is a high-risk period for severe acute respiratory infection (ARI), particularly in low-income countries with resource-limited health systems. Lower respiratory tract infection (LRTI) is commonly preceded by upper respiratory infection (URTI), and often caused by respiratory syncytial virus (RSV), influenza and other common community-acquired viral pathogens. Vitamin D status is a candidate modifiable early-life determinant of the host antiviral immune response and thus may influence the risk of ARI-associated morbidity in high-risk populations.

Methods/Design

In the Maternal Vitamin D for Infant Growth (MDIG) study in Dhaka, Bangladesh (NCT01924013), 1300 pregnant women are randomized to one of five groups: placebo, 4200 IU/week, 16,800 IU/week, or 28,000 IU/week from 2nd trimester to delivery plus placebo from 0–6 months postpartum; or, 28,000 IU/week prenatal and until 6-months postpartum. In the Maternal Vitamin D for ARI in Infancy (MDARI) sub-study nested within the MDIG trial, trained personnel conduct weekly postnatal home visits to inquire about ARI symptoms and conduct a standardized clinical assessment. Supplementary home visits between surveillance visits are conducted when caregivers make phone notifications of new infant symptoms. Mid-turbinate nasal swab samples are obtained from infants who meet standardized clinical ARI criteria. Specimens are tested by polymerase chain reaction (PCR) for 8 viruses (influenza A/B, parainfluenza 1/2/3, RSV, adenovirus, and human metapneumovirus), and nasal carriage density of Streptococcus pneumoniae. The primary outcome is the incidence rate of microbiologically-positive viral ARI, using incidence rate ratios to estimate between-group differences. We hypothesize that among infants 0–6 months of age, the incidence of microbiologically-confirmed viral ARI will be significantly lower in infants whose mothers received high-dose prenatal/postpartum vitamin D supplements versus placebo. Secondary outcomes include incidence of ARI associated with specific pathogens (influenza A or B, RSV), clinical ARI, and density of pneumococcal carriage.

Discussion

If shown to reduce the risk of viral ARI in infancy, integration of maternal prenatal/postpartum vitamin D supplementation into antenatal care programs in South Asia may be a feasible primary preventive strategy to reduce the burden of ARI-associated morbidity and mortality in young infants.

Trial registration

NCT02388516, registered March 9, 2015.

Keywords

Vitamin DPregnancyInfantAcute respiratory infectionPneumoniaInfluenzaRespiratory syncytial virus Streptococcus pneumoniae Bangladesh

Background

Early infancy is a high-risk period for severe acute respiratory infection (ARI), particularly in low-income countries with resource-limited health systems. Lower respiratory tract infection (LRTI) accounts for more deaths among children under the age of 5 in the world than any other single disease [1]. Notably, the clinical course of a LRTI often starts with an upper respiratory tract infection (URTI) suggesting an important role of URTI in the pathogenesis of more severe and life-threatening LRTI. Respiratory syncytial virus (RSV) and influenza are common viral causes of both URTI and LRTI in young children. The treatment of RSV and influenza along with other viral infections remains unsatisfactory and primary prevention remains a key strategy in reducing the burden of these infections.

Vitamin D has been linked to the risk of respiratory infections such as pneumonia, tuberculosis and bronchiolitis, suggesting it may be a potentially modifiable determinant of the host immune response. It has been postulated that lower vitamin D levels may explain the seasonal variation in influenza and studies have shown that children with rickets are at increased risk of lower respiratory tract disease or pneumonia [24]. Higher rates of invasive pneumococcal disease have been associated with decreased ultraviolet light exposure through the postulated mechanism of lower vitamin D levels [5]. Vitamin D has been shown to modulate the innate immune response in lung epithelial cells [6, 7], and antimicrobial peptides induced by vitamin D may have antiviral effects based on observed activity against herpes simplex virus-1 (HSV-1) [8], adenovirus [9], human immunodeficiency virus (HIV) [10] and vaccinia [11]. In RSV-infected human airway epithelial cells, vitamin D induces Iκβα, an NF-κB inhibitor, in airway epithelium and decreases RSV induction of inflammatory genes [7].

Several observational studies have evaluated the association of serum 25-hydroxyvitamin D (25 (OH) D) concentration with incidence or severity of respiratory tract infections. Studies in adults have shown an association between lower 25 (OH) D concentrations and increased URTI (self-reported) [1214] and absence from work due to respiratory symptoms [12, 15]. Pediatric studies have focused predominantly on LRTI (chest X-ray confirmed pneumonia or bronchiolitis) [1620]. These studies have shown an association between low serum 25 (OH) D levels and risk of LRTI in children in India [16], Bangladesh [19] and Turkey [17]. More recently, a study in Hutterite communities in Canada found an association between serum 25 (OH) D level and laboratory confirmed URTI [21].

Despite these suggestive results from observational studies, there have been few prospective randomized controlled trials examining the impact of vitamin D supplementation on risk of ARI in children. In a trial in Japan, school children randomized to 1200 IU/day of vitamin D compared to placebo had a significantly decreased risk of developing laboratory-proven influenza A (RR 0.58, 95 % CI 0.34, 0.99) but not influenza B (RR 1.39, 95 % CI 0.90-2.15) [22]. Similarly, a decrease in parent-reported ARI was noted in children in Mongolia given vitamin D-fortified milk (300 IU of vitamin D3) [23], in a setting in which children had very low baseline serum 25 (OH) D levels. However, a trial in Afghanistan involving over 3000 children randomized to receive quarterly doses of 100,000 IU of vitamin D or placebo found no difference in the incidence of pneumonia [24].

The first randomized trial of prenatal vitamin D supplementation on childhood wheeze was recently published [25]. In this study, pregnant women in London, England were randomized at 27 weeks gestation to receive either no vitamin D, 800 IU ergocalciferol daily until delivery, or a single bolus of 200,000 IU cholecalciferol. This study found no difference in ‘wheeze ever’ between groups nor any difference in prevalence in LRTIs after adjusting for multiple testing. However, the researchers identified multiple limitations in their study including lack of blinding of participants and subjective outcomes, small sample size and limited statistical power, and dosages of vitamin D that lead to only 13 % of the daily group and 3 % of the bolus group having cord serum 25 (OH) D levels considered to be in a sufficient range.

The Maternal Vitamin D for ARI (MDARI) study addresses important gaps in the vitamin D and respiratory tract infection literature. First, there have been no studies examining the effect of prenatal vitamin D supplementation on a primary outcome of laboratory-confirmed viral respiratory infections in the first 6 months of life, a high-risk period for both vitamin D deficiency and respiratory tract infections. Second, the role of prenatal vitamin D as a determinant of susceptibility to specific viral infections has not been examined. Third, there have been no studies assessing the association between vitamin D supplementation and quantitative nasal carriage of Streptococcus pneumoniae (pneumococcus), the most important cause of bacterial LRTI in young children worldwide.

In South Asia, biochemical vitamin D deficiency is common among women and young infants [26]. Our study in Dhaka is being conducted in a population known to have a high prevalence of vitamin D deficiency as well as high incidence of early infant respiratory infection morbidity and mortality [2729].

This study is integrated into a randomized clinical trial of maternal vitamin D supplementation for which the primary outcome is length at one year of age (Maternal Vitamin D for Infant Growth (MDIG) Trial, Clinicaltrials.org identifier NCT01924013), currently underway in Dhaka, Bangladesh and funded by the Bill and Melinda Gates Foundation (Achieving Health Growth Platform Grant OPP1066764) [30]. We hypothesize that among infants 0–6 months, the incidence of microbiologically confirmed ARI will be significantly lower in infants of mothers who received a relatively high dose of vitamin D (28,000 IU/week) during pregnancy plus continued postpartum supplementation (to 6 months postpartum) compared to mothers who received placebo throughout the prenatal and postpartum periods. If a significantly decreased incidence of microbiologically confirmed ARI is found, we will further assess for effect of lower doses of prenatal maternal vitamin D supplementation. We aim to quantify the effect of maternal vitamin D supplementation on the relative incidence of, a) microbiologically confirmed ARI (primary outcome); b) ARI due to influenza (A&B) and RSV; c) clinical ARI; and, d) S. pneumococcus nasal carriage density.

Methods

Design

The MDIG trial is a randomized placebo-controlled dose-ranging trial of maternal vitamin D supplementation during pregnancy and lactation to improve infant linear growth in Dhaka, Bangladesh. The detailed methods of the MDIG trial are published elsewhere [30]. The research group is primarily a collaboration between icddr,b (International Centre for Diarrhoeal Disease Research, Bangladesh) and the Hospital for Sick Children (Toronto, Canada). Pregnant women were enrolled beginning on March 18, 2014 and enrolment is expected to proceed until August 2015. Enrolment of infants in the MDARI sub-study began on December 2, 2014 and will continue until all infants born in the MDIG trial have been offered enrolment (expected completion by January 2016).

Setting

The single-site trial is being conducted in Dhaka. Microbiologic testing is being conducted at the Virology Laboratory of icddr,b. Enrolment and clinical activities of the MDIG trial is based at the Maternal and Child Health Training Institute (MCHTI), commonly known as Azimpur Maternity Center, a government facility that provides low-cost health care to pregnant women and children in its referral area in central Dhaka. Full details regarding the trial site geography and population are provided in the MDIG trial methods paper [30].

Participants

All infants born to women enrolled in the MDIG trial are eligible for the MDARI sub-study. Maternal inclusion criteria for the MDIG trial include being at least 18 years of age, 17 to 24 completed weeks of gestation based on a combination of recalled last menstrual period (LMP) and ultrasound, according to a conventional algorithm (per the Society of Obstetricians and Gynecologists of Canada), and intention to permanently reside in the trial catchment area for the duration of the study. Participants are informed of the ARI sub-study by a research study physician at a clinical visit after enrolment in the main trial. We obtain separate written informed consent for participation in the MDARI sub-study. We aim to enroll at the 30 week gestational age study visit, however, given that the MDIG trial began before MDARI, we also enroll at prenatal visits after 30 weeks, at the time of delivery, and during home visits to infants who were younger than 6 months of age at the time MDARI launched. Participants are free to withdraw from MDARI while remaining in MDIG but withdrawal from MDIG results in automatic withdrawal from MDARI.

Interventions and randomization

A full description of the intervention groups along with the rationale for choice of vitamin D dosages may be found in the methods paper describing the MDIG trial [30]. Three intervention groups are receiving weekly prenatal vitamin D supplementation of 4200 IU/week, 16,800 IU/week, or 28,000 IU/week respectively given as a single weekly dose beginning in the 2nd trimester of pregnancy. These three groups all receive placebo post-partum. A fourth group is receiving 28,000 IU/week during pregnancy and will continue with this level of supplementation until 26 weeks postpartum. A fifth control group is receiving placebo both pre and post-partum (Fig. 1). Infant dietary patterns are assessed at weekly visits to assess breastfeeding patterns and timing of introduction and frequency of consumption of specific complementary foods.
Fig. 1

Maternal Vitamin D Acute Respiratory Infection (MDARI) trial flow diagram

Most infants born to mothers in the placebo and 4200 IU/week groups are not expected to demonstrate neonatal 25 (OH) D ≥ 50 nmol/L, whereas most infants in the 16,000 IU/week and the 28,000 IU/week groups (including participants that will continue to receive 28,000 IU/week post-delivery) are expected to have 25 (OH) D ≥ 50 nmol/L in early infancy. Although the clinical significance of the 50 nmol/L threshold in early infancy remains to be established, this is the cut-off corresponding to the recommended dietary allowance established by the Institute of Medicine in 2011 for all age groups [31]. To promote optimal regimen adherence, doses are delivered weekly (e.g., 28,000 IU per week to deliver the approximate equivalent of 4000 IU/day) and supplementation is directly observed by study personnel whenever feasible.

Design

This is a prospective cohort study nested within a randomized, placebo-controlled trial with concealment of allocation and blinding throughout intervention and analysis. In the main MDIG trial, a total of 1,300 pregnant women will be randomized, targeting 260 women in each group (Fig. 1). The allocation sequence was generated by the trial statistician using a computer-generated random number sequence, according to a simple randomization scheme. Participants, investigators, field personnel, study lab staff and data analysts are blinded to vitamin D or placebo group allocation. Consent to the MDIG trial is necessary to be eligible for the MDARI study; however, participants in MDIG may choose to decline participation in MDARI.

Study outcomes

The primary study outcome is microbiologically confirmed ARI. Main secondary outcomes include ARI with microbiologic confirmation of influenza A, influenza B, or RSV; clinical ARI; and quantitative nasal S. pneumoniae carriage density. The clinical case definitions for ARI, URTI, and LRTI are shown in Table 1. When an infant meets any of the sets of criteria for clinical URTI or LRTI, nasal swab collection is indicated. All nasal swabs are optimally collected within 24 h of notification, however a nasal swab may still be collected within 7 days following clinical case ascertainment (or within 7 days of hospital discharge) [3234]. No participant has more than 1 nasal swab collected within 7 days, regardless of the severity of the illness. Swabs are tested by polymerase chain reaction (PCR) for a panel of respiratory viruses consisting of influenza A, influenza B, RSV, parainfluenza 1, 2, and 3, adenovirus, and human metapneumovirus. Swabs are also be tested for quantitative S. pneumoniae carriage density. Full details of microbiologic testing are presented below. To be considered an incident case, there must be either a preceding surveillance week in which a clinical case definition was not met or a worsening of a case from URTI to LRTI or from LRTI to hospitalized LRTI. To avoid including common neonatal problems that may present similarly to ARI (e.g., transient tachypnea of the newborn), case definitions cannot be met in the first 7 days of life.
Table 1

Study outcome definitions

Acute Respiratory Infection (ARI)

Any upper respiratory tract infection or lower respiratory tract infection as defined below

Clinical Upper Respiratory Tract Infection (URTI)

A new-onset illness consisting of at least two of the following clinical criteria at any time during a surveillance week:

• Caregiver-reported cough;

• Caregiver-reported rhinorrhea;

• Caregiver-reported nasal congestion;

• Measured temperature ≥37.5 °C (axillary)

confirmed with 2nd measurement

Clinical Lower Respiratory Tract Infection (LRTI)

• Caregiver-reported cough AND/OR difficulty breathing during a surveillance week

AND

• Observed elevated respiratory rate (60 breaths per minute or greater for infant up to 59 days of age, or 50 breaths per minute or greater for infant 60 days of age or older) and/or lower chest wall in-drawing

OR

• Hospitalization with physician diagnosis of pneumonia or bronchiolitis

Microbiologically Confirmed URTI

URTI that tests positive for at least one of influenza A, influenza B, respiratory syncytial virus, parainfluenza 1, 2, and 3, adenovirus, or human metapneumovirus

Microbiologically Confirmed LRTI

LRTI that tests positive for at least one of influenza A, influenza B, respiratory syncytial virus, parainfluenza 1, 2, and 3, adenovirus, or human metapneumovirus

Surveillance of acute respiratory infections

Active and passive surveillance mechanisms are being utilized to prospectively identify new cases of clinical ARI among infants during the 0–6 month postnatal period.

Active surveillance visits are attempted on a weekly basis during the first 6 months of life and are implemented through the existing design and infrastructure of the MDIG study [30]; the majority of these visits occur in participants’ homes. At each surveillance-visit, study field personnel trained according to the Integrated Management of Childhood Illness (IMCI) program (WHO/UNICEF) [35] administer a standardized questionnaire and conduct an infant-clinical examination. The questionnaire and physical exam have been designed to optimize the collection of maternal-reported and CHW-observed infant morbidity data. Information pertaining to the following ARI-related symptoms is collected: 1) maternal-reported cough, rhinorrhea (i.e., runny nose), nasal congestion (i.e., stuffy nose), difficulty breathing, and infant-hospitalizations related to a breathing problem or chest infection (e.g., pneumonia); and, 2) CHW-observed axillary temperature ≥ 37.5 °C (confirmed with a second measurement), lower chest wall indrawing, and elevated respiratory rate (≥60 breaths per minutes for infants up to 59 days of age or ≥ 50 breaths per minute for infants 60 days of age or older). The routine collection of these data facilitates the weekly identification of new, worsened, or persistent cases of ARI. The identification of any one symptom indicative of a possible ARI during weekly surveillance visits triggers a field worker to notify the Nasal Swab Dispatcher (MDARI study physician). The Nasal Swab Dispatcher assesses the information to determine whether the clinical case definition of URTI and/or LRTI has been met, and whether a nasal swab specimen should be collected (i.e., no nasal swab collected within past 7 days, at least one study visit at which URTI and LRTI were absent or if not, the ARI clinical case definition has worsened since the last nasal swab was collected).

To identify cases of ARI that arise between scheduled visits, a passive surveillance system has been implemented that relies on the report of ARI symptoms by parents/guardians. At enrolment, mothers are instructed to notify the Nasal Swab Dispatcher by telephone if their infant develops any one of the following symptoms: runny nose, nasal congestion, cough, difficulty breathing, feels hot to the touch, or the infant has been hospitalized. An incentive of approximately $0.25 USD of cell phone credit is provided to families who report an ARI-related symptom. The Nasal Swab Dispatcher assesses the information to evaluate whether the ARI clinical case definition has possibly been met (at least one of cough, runny nose, congestion, hot to the touch, difficulty breathing, or ARI-related hospitalization) and whether collection of a nasal swab is possible (i.e., no nasal swab collected within past 7 days, at least one study visit at which URTI and LRTI were absent or if not, a reassessment must be conducted to determine whether the ARI clinical case definition has worsened since the last nasal swab was collected). Caregiver-reported ARI symptoms are verified in-person through a short questionnaire and infant-clinical examination conducted by a trained nasal swab collector; the clinical assessment is typically performed in the participants’ home. A nasal swab specimen will only be collected if the clinical criteria for URTI and/or LRTI are verified. All MDIG-study physicians have been trained to notify the Nasal Swab Dispatcher if any symptom indicative of a possible ARI is detected during an interaction with an enrolled infant. The Nasal Swab Dispatcher assesses the physician-reported information to determine whether the clinical case definition of an ARI has been met. If an infant is hospitalized with a physician diagnosis of pneumonia or bronchiolitis, the nasal swab collector collects a swab during the hospitalization, or if this is not possible, within 7 days of discharge.

Pulse oximetry

Measures of infant peripheral oxygen saturation (SpO2) are collected for every infant that meets or possibly meets the clinical case definition of an ARI. SpO2 is measured with a hand-held pulse oximeter device (Rad-5v with LNCS Y-shaped sensor and LNC-04 connector cable, Masimo California, USA). A threshold of SpO2 < 90 % is used to guide the referral of infants to hospital for further assessment.

Microbiologic specimen collection

Among infants meeting the definition for clinical ARI as described above, the study worker obtains parental consent to perform nasal swabbing on the infant using sterile flocked swabs (Copan Diagnostics, Inc., model number 56780CS01) to obtain nasal epithelial cells for laboratory analysis. Nasal flocked swabs, which are inserted more proximately in the nares than a traditional nasopharyngeal swab, are better tolerated by the child, easier to perform for the health care worker, and reliably provide adequate sample for molecular testing for respiratory viruses [3638]. Testing is performed by swabbing the nares to the level of the nasal turbinate to obtain a sample of exfoliated cells from the mucosal lining. The infant’s head is tilted backwards to an angle of 70° and the swab is gently inserted by the study worker horizontally into the nasal passage approximately one-half the distance from the nostril to the earlobe or until the stopper meets the infant’s nose or until resistance is met at the level of the turbinate. The swab is then rotated two to three times and held it place for 5–10 s to absorb sample material. The swab is then removed and immediately placed into a collection vial labeled with the patient’s study number and containing 1–3 ml of universal transport medium (Copan Diagnostics, Inc.). The vial is placed into an insulated cold bag and transported to a −80 °C study freezer for storage until testing is done.

Only one nasal swab will be collected for each episode of ARI and there will not be more than 1 swab collected in a 1-week period. We estimate that most infants will not receive more than about one swab per month until they reach 6 months of age, and typically we expect an infant to have 3–4 swabs during this period. Participant families receive 200 taka (~$2.50 USD) for the time involved in the nasal swab procedure.

Laboratory analysis

Respiratory samples are processed and analyzed in the Virology Lab at icddr,b in Dhaka. For each nasal swab specimen, two aliquots are prepared; one aliquot is processed for real-time assays and one aliquot is stored at −80 °C for future reference. Total nucleic acids are extracted from sample using InviMag Pathogen Kit/KF96 (STRATEC Molecular, Berlin, Germany) to an eluate volume of 200 μl according to the manufacturer’s instructions. The InviMag Pathogen Kit/ KF96 contains the lyophilized lysis component (lysis buffer, Proteinase K and Carrier RNA) for bacterial DNA, viral DNA and viral RNA isolation. Lysed samples are mixed with magnetic beads and nucleic acids are isolated according to the manufacturer’s instructions. All real time PCR tests undergo a visual check; if quality of the amplification is not good the test is repeated and/or considered negative. A house-keeping gene, RNP, is used as an indicator of perfect nucleic acid extraction, to check for epithelial cells, sample quality, quality of RT-PCR, and to monitor for PCR inhibition.

To detect and quantitate pneumococcal copy number, quantitative real-time PCR (qPCR) assays are performed to amplify lytA, a single-copy autolysin gene that is specific to all S. pneumoniae strains (Table 2). This method is based on the U.S. Centers for Disease Control and Prevention (CDC) method as described by Carvalho et al., and adapted from the National Institute of Communicable Diseases (NICD) in South Africa. The qPCR assays are carried out in a final reaction volume of 25 μl, each containing 10 μl of extracted total nucleic acid. The lytA primers and probes are added to a final concentration of 10 μM. DNA is amplified in a ABI 7500 (Applied Biosystem, USA) using the following cycling parameters: 95 °C for 10 min followed by 40 cycles of 95 °C for 15 s and 60 °C for 1 min. All standards are performed in triplicate and a negative (no template) and positive (lytA plasmid control) control is included in every run along with the samples. lytA amplification data is analyzed using 7500 software version 2.0.6 (Applied Biosystem, USA). The baseline and threshold are manually set at >0.05, the slope of the standard curve is between −3.1 to −3.6 and correlation should be >0.9. The cutoff value CT < 35 is considered as positive. A CT value of ≤38 showing appropriate amplification on visual check is also considered a positive result.
Table 2

Primers and probes used in this study for qPCR reactions

Primer Name

Primer/probe Sequence (5′-3′) Nucleotide Sequence 5′-3′

lytA

Forward

ACG CAA TCT AGC AGA TGA AGC A

Reverse

TCG TGC GTT TTA ATT CCA GCT

Probe (Pb 400)

6FAM-TGC CGA AAA CGC TTG ATA CAG GGA G-MGB

InfA

Forward

GAC CRA TCC TGT CAC CTC TGA C

Reverse

AGG GCA TTY TGG ACA AAK CGT CTA

Probe1

6FAM-TGC AGT CCT CGC TCA CTG GGC ACG-BHQ1

InfB

Forward

TCC TCA AYT CAC TCT TCG AGC G

Reverse

CGG TGC TCT TGA CCA AAT TGG

Probe1

6FAM-CCA ATT CGA GCA GCT GAA ACT GCG GTG-BHQ1

RNP

Forward

AGA TTT GGA CCT GCG AGC G

Reverse

GAG CGG CTG TCT CCA CAA GT

Probe1

6FAM-TTC TGA CCT GAA GGC TCT GCG CG-BHQ1

RSV

Forward

GGC AAA TAT GGA AAC ATA CGT GAA

Reverse

TCT TTT TCT AGG ACA TTG TAY TGA ACA G

Probe1

6FAM-CTG TGT ATG TGG AGC CTT CGT GAA GCT-BHQ1

HMPV

Forward

CAA GTG TGA CAT TGC TGA YCT RAA

Reverse

ACT GCC GCA CAA CAT TTA GRA A

Probe 1

6FAM-TGG CYG TYA GCT TCA GTC AAT TCA ACA GA-BHQ1

HPIV1

Forward

ACA AGT TGT CAA YGT CTT AAT TCR TAT

Reverse

TCG GCA CCT AAG TAR TTY TGA GTT

Probe

6FAM-ATA GGC CAA AGA “T”TG TTG TCG AGA CTA TTC CAA

HPIV2

Forward

GCA TTT CCA ATC TAC AGG ACT ATG A

Reverse

ACC TCC TGG TAT AGC AGT GAC TGA AC

Probe

6FAM-CCA TTT ACC “T”AA GTG ATG GAA TCA ATC GCA AA

HPIV3

Forward

TGG YTC AAT CTC AAC AAC AAG ATT TAA G

Reverse

TAC CCG AGA AAT ATT ATT TTG CC

Probe1

6FAM-CCC RTC TG“T” TGG ACC AGG GAT ATA CTA CAA A

Adeno

Forward

GCC CCA GTG GTC TTA CAT GCA CAT C

Reverse

GCC ACG GTG GGG TTT CTA AAC TT

Probe

6FAM-TG CAC CAG ACC CGG GCT CAG GTA CTC CGA-BHQ1

Note: Quenched internally at a modified “T” residue with BHQ1 and a terminal phosphate at the 3′-end to prevent probe extension by Taq polymerase

Individual real-time one step reverse transcriptase-PCR (qRT-PCR) assays are being used to detect influenza A and B viruses. Primer and probe sequences were designed on the basis of CDC recommendations (Table 2). The qRT-PCR assays are carried out in a final reaction volume of 25 μl, each containing 5.0 μl of extracted nucleic acid. The specific influenza A and B primers and probes are added to a final concentration of 20 μM and 5.0 μM respectively. The qRT-PCR reaction is carried out with any of the following machines; ABI 7500 (Applied Biosystem, USA), CFX-96 (Bio-Rad, USA) or LightCycler 480 (Roche, Switzerland) using the following cycling parameters: 50 °C for 30 min, 95 °C for 5 min, 46 cycles at 95 °C for 15 s and 55 °C for 1 min. A negative control (no template) and a CDC provided positive control is included in every run along with the samples. The amplification data is analyzed using machine specific softwares. The cutoff value CT < 35 is considered positive. A CT value of ≤38 showing appropriate amplification on visual check is also be considered a positive result.

Individual qRT-PCR assays for 6 viruses (adenovirus, human metapneumovirus [HMPV], human parainfluenza viruses 1–3 and respiratory syncytial virus [RSV]) are being carried out according to the procedure described by Weinberg et al. [39]. Primer and probe sequences were designed on the basis of CDC recommendations (Table 2). All individual qRT-PCR assays are performed with any of the following machines; ABI 7500 (Applied Biosystem, USA), CFX-96 (Bio-Rad, USA) or LightCycler 480 (Roche, Switzerland), using following cycling parameters; 45 °C for 10 min, 95 °C for 10 min, and 45 cycles of 95 °C for 15 s and 55 °C for 1 min. A negative control (no template) and CDC provided specific positive control is included in every run along with the samples. The amplification data is analyzed using machine specific softwares. The cutoff value CT < 35 is considered positive. A CT value of ≤38 showing appropriate amplification on visual check is also considered a positive result.

Data management

A site supervisor reviews all forms for completeness and protocol deviations before sending forms to the data management center at icddr,b. Electronic (scanned) versions of all forms are also regularly saved for long-term storage. The database was designed using SQL Server 2008 and data are entered using Visual Studio 2010. A set of range and consistency checks are built into the data capture system to provide immediate feedback to data entry personnel regarding errors or inconsistent data. Double data entry is used to further reduce the rate of date entry errors.

Statistical analysis

Sample size and power calculations

The number of children in each of the five arms of the MDARI study is determined by the main MDIG trial. For MDARI analyses, we made several assumptions including: maximum of 260 infants in each group, but with 10 % attrition/loss prior to enrolment in MDARI; incidence rate of microbiologically confirmed ARI in the placebo group of 3 cases per child-year; incidence of clinical ARI in the placebo group of 6 cases per child-year; two-sided type 1 error rate of 0.05; power of 80 %; and effect estimate reported as a hazard ratio (HR) (risk in intervention group vs. placebo group).

We anticipate that the effect of maternal vitamin D supplementation will be incremental with increasing dose, such that the greatest effect size (vs. placebo) will be observed in the highest dose vitamin D group with postpartum continuation (group E in Fig. 1). Therefore, the primary aim and power calculation are based on the pair-wise comparison of group E vs. group A (placebo). This will test the core mechanistic hypothesis that improvements in vitamin D status via maternal vitamin D supplementation reduce the risk of ARI among infants in Dhaka. For the primary analysis, we will use a gatekeeper approach, whereby we will proceed to comparisons of shorter and/or lower dose groups (versus placebo) only if the primary comparison of E vs. placebo is statistically significant. For example, if E vs. placebo is significant (p < 0.05), then we will proceed with D vs. placebo, and so forth. This approach provides strong control of the family-wise error rate (type I error) while maintaining high power for the primary comparison [40]. Our primary analysis will also estimate hazard ratios and 95 % confidence intervals for each dose relative to placebo. We thus maintain 80 % power to address the question of whether maternal vitamin D supplementation can reduce the rate of microbiologically-confirmed acute respiratory infections, while simultaneously being able to address whether lower doses are also effective, and to investigate whether a dose–response relationship exists, thereby supporting the biological plausibility and robustness of inferences. At the assumed baseline event rate of 3 events per child-year, we will be able to detect a HR of 0.74 with 80 % power, representing a 26 % reduction in the rate of microbiologically-confirmed ARI. We believe that this is consistent with a minimum clinically-relevant reduction in risk.

In secondary analyses, we will consider aggregation of multiple vitamin D arms (e.g., group D and E), which will have the benefit of increasing the sample size; however, for the a priori primary outcome analysis, we have decided to retain the separation of the groups (according to the design of the MDIG trial) to limit the possibility of increasing a type II error if a true effect of the longer duration or higher-dose intervention were diluted by the lack of effect of the other group(s). Secondary analyses will also replicate the above analyses for clinical respiratory infections (i.e., meets clinical definition with or without microbiologic confirmation) and influenza or RSV associated infections.

Analytic plans

The primary analysis will be conducted as an intention-to-treat analysis and will include all randomized infants who enter the postnatal follow-up period (i.e., infants born to mothers who consent during pregnancy and infants whose mothers consent postnatally). The primary aim is based on the pair-wise comparison of high dose group E vs. placebo. If the evidence indicates a difference between group E vs. placebo (p < 0.05), we will proceed to selected between-group comparisons versus placebo. As there is expected to be some loss to follow-up (censoring), the primary approach will employ a time-to-event (survival) analysis. Specifically, we will use the Anderson-Gill extension of the Cox proportional hazards model to enable the appropriate analysis of recurrent events (i.e., repeated episodes of infection within the same child). The primary effect measure will be hazard ratios, which in this context are the same as incidence rate ratios (IRRs). However, in contrast to some regression models that directly yield IRRs (e.g., Poisson regression) the approach has the advantage of not requiring the assumption of a constant baseline incidence rate. The models will apply jackknife estimators of the standard errors to account for correlation within infants over time [41]. This approach has a similar aim as generalized estimating equations or mixed effects models to account for the non-independence of repeated events within the same child, without requiring us to discard events from multiple episodes (as in, for example, a time-to-first-event analysis). The time unit of analysis is the study week. Following an ARI meeting clinical case definition, weekly active surveillance continues, however, the infant will not be considered ‘at risk’ of a new ARI until there has been one documented case definition free study week or more than 4 study weeks have elapsed (in cases where intervening surveillance visits were missed).

Secondary analyses will include comparing aggregated “high-dose” vitamin D groups (16,800 IU/week (Group C) and 28,000 IU/week (Group D)) versus low/no vitamin D groups (4200 IU/week (Group B) and placebo (Group A)) to optimize power for detecting smaller differences. A specific pairwise comparison between the 28,000 IU/week prenatal + postpartum group (Group E) will be compared to 28,000 IU/week without postpartum supplementation (Group D) to identify the impact of continuing vitamin D supplementation in the postpartum period.

The main secondary outcomes are confirmed infection with influenza (A or B) or RSV, clinical ARI, URTI, and LRTI (i.e., clinical case definition is met but without the need for positive microbiology). The secondary analysis will also be conducted as an intention-to-treat analysis, will include all randomized infants, and will use incidence rate ratios to quantify between group differences. For the secondary outcomes, we will use recurrent event models fitted through proportional hazards models for confirmed RSV or influenza (separately by type of infection) and for clinical ARI, URTI, and LRTI (separately by clinical category). In sensitivity analyses to test the robustness of the primary findings, we will consider adjustment for baseline covariates for which distributions differ across the intervention groups.

Given the expected non-normal distribution of the data, S. pneumococcus density will be reported as median values with inter-quartile range. Differences in continuous variables such as density will be assessed using the Mann–Whitney and p < 0.05 will be considered statistically significant. When assessing difference in density of multiple groups, a Kruskall-Wallis analysis of variance will be employed.

Discussion

The MDARI study in Dhaka, Bangladesh leverages the infrastructure of a large randomized placebo controlled, dose-ranging trial of maternal vitamin D supplementation during pregnancy and lactation in Bangladesh to test the hypothesis that maternal vitamin D supplementation can decrease infant respiratory infections during the high risk first 6 months of infancy. If shown to reduce the risk of ARI in infancy, integration of maternal prenatal/postpartum vitamin D supplementation into antenatal care programs in South Asia may be a feasible primary preventive strategy to reduce the burden of ARI-associated morbidity and mortality in young infants.

Trial status

Data collection is ongoing.

Abbreviations

25 (OH) D: 

25-hydroxyvitamin D

Adeno: 

Adenovirus

ARI: 

Acute respiratory infection

CDC: 

Centers for Disease Control and Prevention

CHW: 

Community health worker

CT: 

Cycle threshold

DNA: 

Deoxyribonucleic acid

HMPV: 

Human metapneumovirus

HPIV1: 

Human parainfluenza-1

HPIV2: 

Human parainfluenza 2

HPIV3: 

Human parainfluenza 3

HR: 

Hazards ratio

HSV-1: 

Herpes simplex virus-1

Ikβα: 

Nuclear factor of kappa light chain gene enhancer in B cells, alpha

IMCI: 

Integrated management of childhood illness

IRR: 

Incidence rate ratios

IU: 

International units

LMP: 

Last menstrual period

LRTI: 

Lower respiratory tract infection

MCHTI: 

Maternal and Child Health Training Institute

MDARI: 

Maternal vitamin D for acute respiratory infections in infancy

MDIG: 

Maternal vitamin D for infant growth

NF-κB: 

Nuclear factor kappa light chain enhancer of activated B cells

PCR: 

Polymerase chain reaction

qPCR: 

Real time polymerase chain reaction

qRT-PCR: 

Real time reverse transcriptase-polymerase chain reaction

RNA: 

Ribonucleic acid

RSV: 

Respiratory syncytial virus

SpO2

Peripheral oxygen saturation

URTI: 

Upper respiratory tract infection

WHO: 

World Health Organization

Declarations

Acknowledgements

We thank Brendon Pezzack and Mohammad Salahuddin for their contributions to design or development of study procedures and/or trial implementation. We also thank Dr. Ishrat Jahan, Superintendent, Maternal and Child Health Training Institute (MCHTI), Ministry of Health and Family Welfare, Government of the people’s Republic of Bangladesh and Mr. Kazi Moksedur Rahman, Executive Director, Shimantik for their support of this trial.

Funding

The trial is funded by the Bill and Melinda Gates Foundation (BMGF, OPP1066764). The funder was not involved in the design of the study, collection, analysis and interpretation of data,writing of the manuscript, or the decision to submit the manuscript for publication.

Availability of data and materials

Not applicable.

Authors’ contributions

SKM and DER conceived the study and led the protocol design. SKM wrote the manuscript. AAM and MZR lead the protocol implementation and laboratory analyses, respectively, in Bangladesh. LGP, MCD, MMI, TA, EP, TK, SSS, JG, EP, MS, and SZ contributed to study design. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This study has been approved by the research ethics boards at The Hospital for Sick Children (REB no. 1000039072) and icddr,b (ERC protocol no. PR-14079). All participants have provided informed consent for inclusion in this study.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Department of Paediatrics, University of Toronto and the Hospital for Sick Children
(2)
Centre for Global Child Health, SickKids Research Institute, Hospital for Sick Children
(3)
Child Health Evaluative Sciences, SickKids Research Institute, Hospital for Sick Children
(4)
Zoonotic Diseases Research Group, Centre for Communicable Diseases, icddr,b
(5)
Centre for Child and Adolescent Health, icddr,b
(6)
Centre for Nutrition and Food Security, icddr,b
(7)
Public Health Ontario
(8)
Division of Infectious Diseases, Hospital for Sick Children

References

  1. Liu L, et al. Global, regional, and national causes of child mortality in 2000–13, with projections to inform post-2015 priorities: an updated systematic analysis. Lancet. 2015;385(9966):430–40.View ArticlePubMedGoogle Scholar
  2. Muhe L, et al. Case–control study of the role of nutritional rickets in the risk of developing pneumonia in Ethiopian children. Lancet. 1997;349(9068):1801–4.View ArticlePubMedGoogle Scholar
  3. Najada AS, Habashneh MS, Khader M. The frequency of nutritional rickets among hospitalized infants and its relation to respiratory diseases. J Trop Pediatr. 2004;50(6):364–8.View ArticlePubMedGoogle Scholar
  4. Siddiqui TS, Rai MI. Presentation and predisposing factors of nutritional rickets in children of Hazara Division. J Ayub Med Coll Abbottabad. 2005;17(3):29–32.PubMedGoogle Scholar
  5. White AN, et al. Let the sun shine in: effects of ultraviolet radiation on invasive pneumococcal disease risk in Philadelphia, Pennsylvania. BMC Infect Dis. 2009;9:196.View ArticlePubMedPubMed CentralGoogle Scholar
  6. Hansdottir S, et al. Respiratory epithelial cells convert inactive vitamin D to its active form: potential effects on host defense. J Immunol. 2008;181(10):7090–9.View ArticlePubMedPubMed CentralGoogle Scholar
  7. Hansdottir S, et al. Vitamin D decreases respiratory syncytial virus induction of NF-kappaB-linked chemokines and cytokines in airway epithelium while maintaining the antiviral state. J Immunol. 2010;184(2):965–74.View ArticlePubMedGoogle Scholar
  8. Gordon YJ, et al. Human cathelicidin (LL-37), a multifunctional peptide, is expressed by ocular surface epithelia and has potent antibacterial and antiviral activity. Curr Eye Res. 2005;30(5):385–94.View ArticlePubMedPubMed CentralGoogle Scholar
  9. Gordon YJ, et al. CAP37-derived antimicrobial peptides have in vitro antiviral activity against adenovirus and herpes simplex virus type 1. Curr Eye Res. 2009;34(3):241–9.View ArticlePubMedPubMed CentralGoogle Scholar
  10. Bergman P, et al. The antimicrobial peptide LL-37 inhibits HIV-1 replication. Curr HIV Res. 2007;5(4):410–5.View ArticlePubMedGoogle Scholar
  11. Howell MD, et al. Selective killing of vaccinia virus by LL-37: implications for eczema vaccinatum. J Immunol. 2004;172(3):1763–7.View ArticlePubMedGoogle Scholar
  12. Sabetta JR, et al. Serum 25-hydroxyvitamin d and the incidence of acute viral respiratory tract infections in healthy adults. PLoS One. 2010;5(6):e11088.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Ginde AA, Mansbach JM, Camargo Jr CA. Association between serum 25-hydroxyvitamin D level and upper respiratory tract infection in the third national health and nutrition examination survey. Arch Intern Med. 2009;169(4):384–90.View ArticlePubMedPubMed CentralGoogle Scholar
  14. Berry DJ, et al. Vitamin D status has a linear association with seasonal infections and lung function in British adults. Br J Nutr. 2011;106(9):1433–40.View ArticlePubMedGoogle Scholar
  15. Laaksi I, et al. An association of serum vitamin D concentrations < 40 nmol/L with acute respiratory tract infection in young Finnish men. Am J Clin Nutr. 2007;86(3):714–7.PubMedGoogle Scholar
  16. Wayse V, et al. Association of subclinical vitamin D deficiency with severe acute lower respiratory infection in Indian children under 5 y. Eur J Clin Nutr. 2004;58(4):563–7.View ArticlePubMedGoogle Scholar
  17. Karatekin G, et al. Association of subclinical vitamin D deficiency in newborns with acute lower respiratory infection and their mothers. Eur J Clin Nutr. 2009;63(4):473–7.View ArticlePubMedGoogle Scholar
  18. McNally JD, et al. Vitamin D deficiency in young children with severe acute lower respiratory infection. Pediatr Pulmonol. 2009;44(10):981–8.View ArticlePubMedGoogle Scholar
  19. Roth DE, et al. Vitamin D status and acute lower respiratory infection in early childhood in Sylhet, Bangladesh. Acta Paediatr. 2010;99(3):389–93.View ArticlePubMedGoogle Scholar
  20. Roth DE, et al. Vitamin D status is not associated with the risk of hospitalization for acute bronchiolitis in early childhood. Eur J Clin Nutr. 2009;63(2):297–9.View ArticlePubMedGoogle Scholar
  21. Science M, et al. Low serum 25-hydroxyvitamin D level and risk of upper respiratory tract infection in children and adolescents. Clin Infect Dis. 2013;57(3):392–7.View ArticlePubMedPubMed CentralGoogle Scholar
  22. Urashima M, et al. Randomized trial of vitamin D supplementation to prevent seasonal influenza A in schoolchildren. Am J Clin Nutr. 2010;91(5):1255–60.View ArticlePubMedGoogle Scholar
  23. Camargo Jr CA, et al. Randomized trial of vitamin D supplementation and risk of acute respiratory infection in Mongolia. Pediatrics. 2012;130(3):e561–7.View ArticlePubMedGoogle Scholar
  24. Manaseki-Holland S, et al. Effect on the incidence of pneumonia of vitamin D supplementation by quarterly bolus dose to infants in Kabul: a randomised controlled superiority trial. Lancet. 2012;379(9824):1419–27.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Goldring ST, et al. Prenatal vitamin d supplementation and child respiratory health: a randomised controlled trial. PLoS One. 2013;8(6):e66627.View ArticlePubMedPubMed CentralGoogle Scholar
  26. Palacios, C. and L. Gonzalez, Is vitamin D deficiency a major global public health problem? J Steroid Biochem Mol Biol. 2014;144 Pt A: p. 138–45.Google Scholar
  27. Homaira N, et al. Incidence of respiratory virus-associated pneumonia in urban poor young children of Dhaka, Bangladesh, 2009–2011. PLoS One. 2012;7(2):e32056.View ArticlePubMedPubMed CentralGoogle Scholar
  28. Nasreen S, et al. Population-based incidence of severe acute respiratory virus infections among children aged <5 years in rural Bangladesh, June-October 2010. PLoS One. 2014;9(2):e89978.View ArticlePubMedPubMed CentralGoogle Scholar
  29. Roth DE, et al. Randomized placebo-controlled trial of high-dose prenatal third-trimester vitamin D3 supplementation in Bangladesh: the AViDD trial. Nutr J. 2013;12:47.View ArticlePubMedPubMed CentralGoogle Scholar
  30. Roth DE, et al. Maternal vitamin D supplementation during pregnancy and lactation to promote infant growth in Dhaka, Bangladesh (MDIG trial): study protocol for a randomized controlled trial. Trials. 2015;16:300.View ArticlePubMedPubMed CentralGoogle Scholar
  31. Ross AC, et al. The 2011 report on dietary reference intakes for calcium and vitamin D from the Institute of Medicine: what clinicians need to know. J Clin Endocrinol Metab. 2011;96(1):53–8.View ArticlePubMedGoogle Scholar
  32. Loeffelholz MJ, et al. Duration of rhinovirus shedding in the upper respiratory tract in the first year of life. Pediatrics. 2014;134(6):1144–50.View ArticlePubMedPubMed CentralGoogle Scholar
  33. Munywoki PK, et al. Influence of age, severity of infection, and co-infection on the duration of respiratory syncytial virus (RSV) shedding. Epidemiol Infect. 2015;143(4):804–12.View ArticlePubMedGoogle Scholar
  34. Loeb M, et al. Longitudinal study of influenza molecular viral shedding in Hutterite communities. J Infect Dis. 2012;206(7):1078–84.View ArticlePubMedGoogle Scholar
  35. World Health Organization. Integrated management of childhood illness: chart booklet. 2014.Google Scholar
  36. Edwards KM, et al. Burden of human metapneumovirus infection in young children. N Engl J Med. 2013;368(7):633–43.View ArticlePubMedPubMed CentralGoogle Scholar
  37. Poehling KA, et al. The underrecognized burden of influenza in young children. N Engl J Med. 2006;355(1):31–40.View ArticlePubMedGoogle Scholar
  38. Hall CB, et al. The burden of respiratory syncytial virus infection in young children. N Engl J Med. 2009;360(6):588–98.View ArticlePubMedPubMed CentralGoogle Scholar
  39. Weinberg GA, et al. Field evaluation of TaqMan array card (TAC) for the simultaneous detection of multiple respiratory viruses in children with acute respiratory infection. J Clin Virol. 2013;57(3):254–60.View ArticlePubMedGoogle Scholar
  40. Bauer P, et al. Testing strategies in multi-dose experiments including active control. Stat Med. 1998;17(18):2133–46.View ArticlePubMedGoogle Scholar
  41. Lipsitz SR, Parzen M. A jackknife estimator of variance for Cox regression for correlated survival data. Biometrics. 1996;52(1):291–8.View ArticlePubMedGoogle Scholar

Copyright

© The Author(s). 2016

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